{"id":"W2954166008","doi":"10.3390/en12132465","title":"Wind Farm Layout Upgrade Optimization","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Al-Azhar University","keywords":"Upgrade; Wind power; Offshore wind power; Grid; Range (aeronautics); Production (economics); Cost of electricity by source; Energy (signal processing); Electricity generation; Marine engineering; Engineering; Computer science; Power (physics); Electrical engineering; Mathematics; Aerospace engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004162712,0.00008075299,0.00007871235,0.00006775626,0.00002398416,0.00003487234,0.00008818164,0.00004066139,0.0002987159],"category_scores_gemma":[0.000006232438,0.00007375437,0.00002251377,0.0001088752,0.000009944727,0.00007767607,0.00002565714,0.00006126152,0.0001853173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362709,"about_ca_system_score_gemma":0.00001619198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392211,"about_ca_topic_score_gemma":0.00000513497,"domain_scores_codex":[0.9994807,0.000006946987,0.00008260225,0.00008963417,0.0001379473,0.000202118],"domain_scores_gemma":[0.9997889,0.00001403971,0.000006095966,0.0001255318,0.00001453665,0.00005088923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002359953,0.000003617477,0.000603508,0.00001231806,0.00001653733,0.000001935304,0.0001081508,0.9951411,0.0008501829,0.0006202853,0.001364792,0.001275248],"study_design_scores_gemma":[0.001242364,0.0000874807,0.0116584,0.00006955556,0.000009454863,0.00001191344,0.0006038643,0.6590437,0.05880014,0.0003367665,0.2672573,0.0008790059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9102096,0.000416726,0.001458728,0.00006794355,0.0004921576,0.0000612479,0.000002369545,0.0003838668,0.08690737],"genre_scores_gemma":[0.9900712,0.0001233006,0.004084038,0.00003337415,0.00008252404,0.000006257757,0.00002491603,0.00002280114,0.005551544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3360974,"threshold_uncertainty_score":0.3270729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574525527387297,"score_gpt":0.1903469248818127,"score_spread":0.1847723993544254,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}